Bram Zandbelt

Staff Data Scientist

Randstad, Netherlands
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Summary

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Bram Zandbelt is a Staff Data Scientist with 12 years of experience who blends deep academic expertise in computational neuroscience with practical leadership in enterprise Analytics & AI at Nederlandse Spoorwegen. He crafts technical vision and AI strategy, tackles cross-departmental challenges like AI governance and FAIR data, and drives standardization to turn analytics into measurable business value. Previously he built and led NS’s data science community as Tech Lead and shipped end-to-end production solutions across maintenance, stations, and staffing using cloud, CI/CD, and robust monitoring. His background as a Marie Skłodowska-Curie fellow and computational neuroscience researcher informs a rigorous approach to reproducible science, large-scale simulation, and Bayesian methods that he applies to real-world AI problems. Based in the Randstad, he equally focuses on training leaders in AI literacy and fostering collaborative communities, combining scientific rigor with practical impact.
code12 years of coding experience
job16 years of employment as a software developer
bookBachelor of Science - BS, Biomedical sciences, Bachelor of Science - BS, Biomedical sciences at Vrije Universiteit Amsterdam (VU Amsterdam)
bookDoctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at Utrecht University
bookVWO, VWO at Twickel College
languagesEnglish, Dutch
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Github Skills (33)

dataflow-programming10
statistic10
hide10
estimate10
brain-imaging9
dataflow9
toolbox9
matlab9
electrophysiology9
neuroimaging9
slice9
simultaneous9
bids9
contrast9
python8

Programming languages (4)

C++JavaScriptMATLABPython

Github contributions (5)

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bramzandbelt/exgauss

Jan 2014 - Jun 2014

Contributions:19 commits, 1 comment, 1 issue in 5 months
Contributions:37 commits, 2 pushes in 1 year 4 months
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Bram Zandbelt - Staff Data Scientist